KR102086259B1 - Construction safety management system using wearable safety device and wireless network and method for operating the same - Google Patents

Abstract

A construction safety management system using wearable safety equipment and a roller network and a method for operating the same of the present invention are to detect a worker′s work intensity and health conditions and the occurrence or non-occurrence of an accident through a wearable device worn by the worker and manage the safety of the worker by transmitting warning and alarm services to the worker and a manager in the event of danger. The construction safety management system operation method of the present invention includes: a step of receiving, by a server, a worker′s heart rate and instantaneous acceleration through the roller network respectively from heart rate sensor and an acceleration sensor included in the wearable safety equipment; a step of determining, by the server, the worker′s work intensity and safety state based on the heart rate and the instantaneous acceleration; a step of determining, by the server, a warning alarm grade based on the work intensity and the safety state; and a step of transmitting, by the server, the alarm grade and the safety state to at least one among the wearable safety equipment and an administrator′s applicaton. The work intensity means the degree of load that the worker′s current work exerts on the worker′s body, and the safety state includes accident detection indicating that an accident has occurred for the worker and a state of danger indicating that the worker has an accident risk.

Description

CONSTRUCTION SAFETY MANAGEMENT SYSTEM USING WEARABLE SAFETY DEVICE AND WIRELESS NETWORK AND METHOD FOR OPERATING THE SAME

An embodiment according to the concept of the present invention relates to a construction safety management system using a wearable device and a roller network that manages worker safety at a construction site and a method for operating the same.

In general, a number of workers are placed in various fields at a construction site to perform work, and safety accidents are very frequent, so safety management for workers is very important. However, because there are very few managers who manage many workers, there is a limit in preventing safety accidents by ensuring that the manager accurately grasps all work situations occurring at the construction site.

Therefore, it is possible to prevent an accident in advance by grasping the condition of an individual and sending a warning message when there is an abnormality by using wearable wearable safety equipment.

As a neckband-type wearable device and an activity notification system using the same, an active agent using a health processor that generates a harmful alarm by at least one of activator status information and environmental status information in Korean Patent Publication No. 10-2018-0072145 Disclosed is a wearable device that sends a notification message to a user.

However, this system only discloses a method of providing activity notification using the movement of the actor, bio-signals, and environmental information around the actor, and determines the specific worker's work intensity, the worker's health status, and whether an accident has occurred. There is no disclosure in the method, measurement and calculation method.

Korean Patent Publication No. 10-2018-0072145

The present invention has been devised to solve the above problems, and the construction safety management system and its operation method using the wearable safety equipment and the roller network of the present invention include a worker's work strength through a wearable device worn by an operator, It aims to manage the safety of workers by detecting health conditions and accidents and sending warning and alarm services to workers and managers in dangerous situations.

Method for operating the construction safety management system using the wearable stabilizer and the roller network of the present invention for achieving the above object, the server, the heartbeat sensor and the acceleration sensor included in the wearable safety equipment from the roller network respectively Receiving each of the worker's heart rate and the worker's instantaneous acceleration, and the server determining the worker's work intensity and the worker's safety state based on the heart rate and the instantaneous acceleration, and the server comprising: Determining a warning alarm level based on the job strength and the safety status, and the server transmitting the alarm status and the safety status to at least one of the wearable safety equipment and the manager app, wherein the job strength is The work currently being performed by the worker is Means the degree of load on the operator's body, and the safety state includes an accident detection indicating that an accident has occurred to the worker, and a dangerous state indicating that there is a risk of an accident occurring to the worker.

In the determining of the work intensity, the server calculates a heart rate increase rate using the resting heart rate of the worker and the current heart rate of the worker, and based on the rate of increase of the heart rate, whether the work intensity is light work or secondary work, Alternatively, determining whether it is a heavy work, and determining the warning alarm level, the server determines different warning alarm levels according to the determined work intensity.

Determining the safety state of the worker comprises: calculating a heart rate variability of the worker using the heart rate, calculating an activity amount of the worker using the instantaneous acceleration and the weight of the worker, and the heart rate And calculating a physical risk indicating how much activity the worker has performed in a fatigued state using the variability and the activity amount, and determining the safety state of the worker as a dangerous state according to the physical risk.

Determining the safety state of the worker includes: determining whether the worker has a weak heart rate or excessive heart rate using the heart rate, determining whether the worker free falls using the acceleration, and the heart rate And determining an accident situation of the worker based on whether a weak or excessive heart rate and the free fall, and determining the safety state of the worker as an accident detection according to the accident situation.

The wearable safety equipment further includes an emergency report button, and the server determines the safety state of the worker as a dangerous state according to whether the emergency report button is pressed.

The server transmitting the alarm level and the safety state to at least one of the wearable safety device and the manager app, if the safety state is a dangerous state, the alarm level and the safety state are transmitted to the wearable safety device, If the safety state is an accident detection, the alarm level and the safety state are transmitted to each of the wearable safety device and the manager app.

The operation method of the construction safety management system using wearable safety equipment includes whether the server presses the emergency report button from each of the emergency report button, heart rate sensor, and acceleration sensor included in the wearable safety equipment, the operator's heart rate, and the operator. Receiving each of the instantaneous accelerations of the server, and the server calculating, using the heart rate, a work intensity indicating a degree of load on the body of the worker by the work currently being performed by the worker, and the server comprising Calculating a physical risk indicating how much activity the worker has done in a state of fatigue using the heart rate and the instantaneous acceleration, and the server uses the heart rate and the acceleration to cause the worker to suffer a cardiac arrest or fall accident Judge the accident situation And a step of determining, by the server, the safety status of the worker based on whether the emergency report button is pressed, the physical risk, and the accident situation.

The determining of the accident situation may include determining whether the worker has a weak heart rate or excessive heart rate using the heart rate, and determining whether the worker has a free fall using the acceleration, and whether the heart rate is weak or And determining an accident situation of the worker based on the excessive heart rate and whether the free fall occurs.

The server further comprises the steps of determining different warning alarm levels according to whether the emergency report button is pressed, the work intensity, and the accident situation determination result; and the server further includes the wearable according to the determined warning alarm level. The safety device and the manager app control to output different alarms.

The step of determining the safety state of the worker determines that the safety state of the worker is a dangerous state indicating that there is a risk of an accident occurring to the worker according to whether the emergency report button is pressed and the physical risk, respectively. According to the situation, it is determined that the safety state of the worker is an accident detection indicating that an accident has occurred in the worker.

The construction safety management system using the wearable safety equipment and the Laura network of the present invention and the operation method thereof as described above detects the worker's work intensity, the worker's health status, and whether an accident occurs through a wearable device worn by the worker and is in a dangerous situation It is effective to manage the safety of workers by sending warning and alarm services to workers and managers.

1 is a configuration diagram of a construction safety management system using the wearable device of the present invention and a Laura network.
2 is a flowchart of state information of an operator according to the present invention.
3 is a flowchart of an administrator control command and an alarm output command according to the present invention.
4 is a flowchart illustrating an operation for determining a safety state of a worker by a construction safety management system according to the present invention.
5 is a view showing a wearable safety equipment hardware components according to the present invention.
6 is a view showing a manager app component according to the present invention.
7 is an operation flowchart for determining a safety state of an operator according to the present invention.
8 is a judgment table for determining an accident situation based on data analysis of an acceleration sensor and a heart rate sensor according to the present invention.
9 is a view showing a warning alarm class classification table according to the present invention.
10 is a view illustrating an action scenario when an accident occurs as an example of an operation of a construction safety management system according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. It will be described in detail focusing on the parts necessary to understand the operation and operation according to the present invention. In describing the embodiments of the present invention, descriptions of technical contents well known in the technical field to which the present invention pertains and which are not directly related to the present invention will be omitted. This is to more clearly convey the gist of the present invention by omitting unnecessary description.

In addition, in describing the components of the present invention, different reference numerals may be assigned to components having the same name according to the drawings, and the same reference numerals may be assigned to different components. However, even in such a case, it does not mean that the corresponding component has different functions according to embodiments, or does not mean that the same components have the same functions in different embodiments, and the function of each component is the corresponding embodiment You should judge based on the description of each component in.

The present invention relates to a construction safety management system and apparatus using a wearable device and a Laura network.

1 is a configuration diagram of a construction safety management system using the wearable device of the present invention and a Laura network. Referring to FIG. 1, a construction safety management system 10 using a wearable device and a LoRa network includes wearable safety equipment 100, a LoRa gateway 200, a safety management server 300, and an administrator app. 400.

The wearable safety equipment 100 is a device worn directly by an operator, and may be implemented in the form of a helmet, a watch, a belt, a vest, and glasses, and may be implemented in various forms not described elsewhere.

The wearable safety equipment 100 may include a sensor and an emergency report button. The wearable safety equipment 100 measures the current state of the worker using a sensor, and transmits the measured value to the server at regular intervals. The sensor may be a heart rate sensor and an acceleration sensor. The specific configuration of the wearable safety equipment 100 will be described in detail with reference to FIG. 5.

The LoRa gateway 200 serves as a relay for a worker's wearable safety equipment and a safety management server. Here, LoRa is an abbreviation of 'Long Range', the first letter of 'Long Range Wide-area network', a kind of long-distance communication technology, and is an optimized technology for IoT.

The safety management server 300 receives the current state of the worker measured by the wearable device, determines the safety state of the worker, and stores the result therein. As a result of the discrimination, if the worker's safety status becomes "dangerous status" or "accident detection", an alarm suitable for each status is transmitted to the manager app and wearable safety equipment. 'Accident detection' refers to a state in which an accident has occurred to an operator, and 'dangerous state' refers to a case in which an accident has not occurred, but it is determined that there is a potential risk of an accident.

The manager app 400 is a manager app required to communicate with the safety management server 300 through a mobile phone mobile network and perform management tasks. It consists of a graphic menu and information inquiry screen that allows construction site safety personnel to access the safety management system directly. In addition, the settings of the manager app or information inquiry are stored in the manager terminal in the form of setting variables. The specific configuration of the manager app 400 will be described in detail with reference to FIG. 6.

2 is a flowchart of state information of an operator according to the present invention. Referring to FIG. 2, the wearable device 100 transmits equipment data to the Laura gateway 200 at regular intervals. For example, the equipment data may include unique identification information of the wearable safety equipment 100, a current state of the operator measured using a sensor, and information indicating abnormal signs of the wearable safety equipment 100. The unique identification information may include one or more of a device registration number, user, department, and workplace information. The abnormality sign means a hardware error, a communication error, a battery shortage, etc. of the wearable safety equipment 100, and may be expressed as an error code.

The Laura gateway 200 temporarily stores equipment data of each wearable device 100 collected through a LoRa wireless communication network. That is, the Laura gateway 200 serves as an intermediate storage of equipment data of the wearable device 100. The Laura gateway 200 transmits equipment data to the safety management server 300 at regular intervals.

The safety management server 300 may build a database that stores sensor values, operator status analysis results, and the like, which have been measured so far, in a separate form inside or outside. The database may also store personal information or other physical information of the individual worker necessary to determine the current state of the worker.

The safety management server 300 stores the safety state for each worker in the database according to the working time based on the current state of the worker transmitted from the Laura gateway 200 through the Internet communication network. The safety management server 300 analyzes a worker's safety state, and stores and manages all state information at the present time. In addition, the safety management server 300 performs a function of sending an alarm to the manager app 400.

The manager app 400 consists of a graphic menu and an information inquiry screen through which a construction site safety officer can directly access the construction safety management system 10.

3 is a flowchart of an administrator control command and an alarm output command according to the present invention.

When there is a request to view information from the manager app 400, the safety management server 300 analyzes the state information of the worker and stores all the state information at the present time when a risk factor is found, and the worker through the Laura gateway 200 It performs a function of sending an alarm output request to the wearable device 100.

The wearable safety equipment 100 includes an emergency alarm and operates in response to the alarm output request. The emergency alarm is operated by an alarm sound, light, vibration, or a combination thereof to physically recognize an operator's dangerous situation or a sudden change in sensor value.

In addition, the safety management server 300 manages setting variables that can be modified by the safety officer at the construction site through the manager app 400 and applies it to the entire system. The setting variable may include settings of the manager app 400 or information inquiry.

In addition, the list information of the wearable safety equipment 100 currently connected to the roller gate 200 is stored in the roller gate 200. Each list information includes unique identification information for each device, and the wearable safety device 100 may be added / removed under the control of the safety management server 300.

4 is a flowchart illustrating an operation for determining a safety state of a worker by a construction safety management system according to the present invention. The safety management server 300 determines the safety state of the worker by performing a judgment based on the measurement of the state of the emergency report button, a judgment based on the heart rate measurement, and a judgment according to the acceleration measurement.

4, the worker wears the wearable safety equipment 100 before being put into the construction work site (S110).

First ① In the judgment according to the measurement of the state of the emergency report button, when the wearable safety equipment 100 measures the state of the emergency report button (S120), the safety management server 300 sets the state of the emergency report button to the Laura gateway 200. It is received through (S130). The safety management server 300 checks whether the emergency report button is pressed, and when it is determined that the emergency report button is pressed, determines that the safety state of the worker is "dangerous state" (S140).

When the safety state of the worker is 'dangerous state' or 'accident detection', the safety management server 300 determines whether a warning alarm is required according to each safety state (S150). The warning alarm includes a danger warning alarm corresponding to a 'dangerous condition' and an accident detection alarm corresponding to 'accident detection'. The danger warning alarm is a preventive measure to prevent a safety accident, and the accident detection alarm is a response means to detect an actual safety accident and respond quickly.

For example, if the current worker's safety state is 'accident detection', an alarm is transmitted to each of the wearable safety equipment 100 and the manager app 400 in the field, and if the current worker's safety state is 'dangerous state', the manager app An alarm can be sent to (400). However, if it is determined that an alarm is not necessary, repeat the judgment based on the measurement of the state of the emergency report button, the judgment based on the heart rate measurement, and the judgment based on the acceleration measurement.

When the safety state of the worker is "dangerous state" (YES in S150), the safety management server 300 transmits an alarm to the manager app 400 (S160, S161).

② In the determination according to the heart rate measurement, when the wearable safety equipment 100 measures the heart rate of the worker using the heart rate sensor (S121), the safety management server 300 receives the heart rate of the worker through the Laura gateway 200 (S130). At this time, the heart rate is a value obtained by measuring the heart rate of the last 5 times (unit: beat per second, bpm). The heart rate (HR) can be obtained through Equation 1 below.

In the above equation,

t _n-4 : Time of the end of the first heartbeat after measurement starts

t _n : The end time of the fifth heart rate after the measurement market

③ In the judgment according to the acceleration measurement, when the wearable safety equipment 100 measures the instantaneous acceleration of the worker using the acceleration sensor (S122), the safety management server 300 instantaneous acceleration of the worker through the Laura gateway 200 It receives (S130).

Here, the instantaneous acceleration (unit: m / s ² ) means the acceleration value of each axis of x, y, and z measured by the acceleration sensor installed in the wearable safety equipment 100, and the magnitude of the instantaneous acceleration (unit: m / s ² ) Is the absolute value of the magnitude of the instantaneous acceleration sum obtained by vector sum calculation of the acceleration values of each axis of x, y, and z [Equation 4].

here,

The method of determining whether the safety state of the worker is the "dangerous state" or the "accident detection" using the heart rate of the worker and the instantaneous acceleration of the worker will be described in detail with reference to FIG. 7.

Each time the safety management server 300 receives the data measured by the wearable safety equipment 100, it repeatedly determines whether the safety state of each worker is "dangerous state" or "accident detection", and according to the result of the determination. , Sends an alarm to the wearable safety equipment 100 and / or the manager app 400 and stores the safety state of each worker in an internal database.

5 shows a configuration diagram of the wearable safety equipment. Referring to FIG. 5, the wearable safety device 100 includes an emergency report button 120, an alarm device 130, a battery 140, an acceleration sensor 150, and a heart rate sensor 160 in a case of the wearable safety device 100 ), A wireless circuit and an antenna 170, and a control board 180. It is not limited to the above components if other components can be included.

The wearable safety equipment 100 is largely divided into a mechanical part and an electronic circuit part.

The mechanism unit may include a wearable device case, which is a case that may include a wearable safety equipment component, and an emergency report button 120. The emergency report button 120 is a button-shaped operation unit that allows an operator to send an alarm to a manager when a safety accident or other emergency occurs.

The electronic circuit unit may include an alarm device 130, a battery 140, an acceleration sensor 150, a heart rate sensor 160, a wireless circuit and antenna 170, and a control board 180.

The alarm device 130 outputs an alarm only for the 'accident occurrence' state. At this time, an alarm sounds at the same time even for equipment worn by other workers at the corresponding site, so that it can be quickly checked in the surrounding area, and the alarm of each worker's wearable safety equipment 100 includes sound, light, vibration, or a combination thereof. can do.

The battery 140 may include a rechargeable battery that guarantees a minimum operating time of 24 hours or more. However, this may include various types of batteries, and is not limited to rechargeable batteries.

Accelerometer 150 and heart rate sensor 160 are components for accurately measuring the current state of the worker, and in detail, can include an acceleration sensor 150 of three or more axes to measure worker movement, It may include a contact or non-contact heart rate sensor to measure the heart rate or pulse of the.

In addition, the sensor part including the heart rate sensor and the acceleration sensor includes a sensor, a sensor fixing part into which the sensor is inserted, and the wearable safety device 100 may include a wearing mechanism part having a coupling part to which the sensor fixing part is detachable. , It may further include a ball joint connection portion to allow the sensor fixing portion and the wearing mechanism portion to be coupled at a mutually free angle.

Since the sensor parts can be replaced while using other parts as they are, the worker can wear them according to convenience, such as a neck band, a hair band, and a wrist band, depending on the shape of the wearable safety equipment 100.

The wireless circuit and the antenna 170 may wirelessly transmit the acquired sensor data (acceleration sensor measurement value or heart rate sensor measurement value) to the safety management server 300.

The control board 180 includes a microcontroller and an auxiliary power circuit, and can process data and store internal variables.

6 is a view showing the components of the manager app according to the present invention. Referring to FIG. 6, the manager app 400 may include a worker registration and information modification menu 420, a worker history reading menu 430, a warning alarm menu 440, and a construction safety management system setting menu 450. You can.

Specifically, a worker registration / information modification menu 420 capable of registering a new worker and correcting information of an existing worker, a worker history viewing menu 430 for checking a specific worker information record or an average information record of a corresponding field worker , Construction safety management system setting menu 450 that allows you to view accident alarms that occurred in the past or to display safety accident alarms that have occurred in the past, and detailed settings of the manager app and general settings of the safety management server. It includes.

In particular, when the administrator app 400 determines that the safety state of the worker is 'accident detection' or 'dangerous state' and receives an alarm command from the safety management server 300, the user or manager of the manager app 400 is recognized. You can output a pop-up alarm to do it.

7 is a detailed flowchart illustrating an operation for determining a safety state of an operator according to the present invention. ① The detailed method to determine the safety status of the worker by performing the judgment according to the measurement of the state of the emergency report button, ② the judgment according to the measurement of the heart rate, and ③ the measurement according to the acceleration measurement is as follows.

Emergency report button status

The safety management server 300 checks the state of the emergency report button (S200). As a result of the check, when it is confirmed that the emergency report button is pressed in the wearable safety equipment 100 (YES in S210), the safety management server 300 determines the safety state of the worker as a 'dangerous state' (S530). The safety management server 300 may determine the warning alarm level according to the safety state of the operator (S540).

9 is a view showing a classification table for a warning alarm class according to the present invention. Referring to FIG. 9, a warning alarm class may be classified, and an alarm may be set differently according to the warning alarm class.

For example, if the worker's safety status is 'accident detection', it can be classified as A grade. When the worker's safety state is 'dangerous' and it is confirmed that the emergency report button has been pressed in the wearable safety equipment 100, it can be classified as a B class. When the worker's safety state is 'dangerous', it can be classified as a B class for heavy work, a C class for heavy work, and a D class for light work depending on the work intensity. The work intensity will be described in detail with reference to steps S310 and S311.

The closer to Grade A, the more critical it is, and the more dangerous it is to D, it may mean a less dangerous condition. The more dangerous the condition is, the higher the frequency of occurrence of warning alarms can be processed.

Referring to FIG. 7 again, the safety management server 300 determines whether a warning alarm is required according to the safety state of the worker. Since the current worker's safety state is 'dangerous state', the safety management server 300 may transmit an alarm to the manager app 400. At this time, the safety management server 300 may transmit the alarm set according to the B grade. The safety management server 300 stores the current worker's safety state in the database (S550).

When it is confirmed that the emergency report button has not been pressed, the safety management server 300 stores the current state in the database (S550).

Heart rate measurement-Calculate current working intensity

The safety management server 300 checks the measured value of the heart rate sensor mounted on the wearable safety equipment 100 (S300), and calculates the current heart rate. The safety management server 300 calculates the heart rate increase rate using the current heart rate (S310). The heart rate increase rate is the ratio of the current heart rate to the resting heart rate, and is calculated as in [Equation 5] below.

For example, if the resting heart rate is 100 bpm and the current heart rate is 120 bpm, the rate of heart rate increase is 20%. HR _rest is the heart rate value measured separately for each worker.

The safety management server 300 calculates the work intensity using the heart rate increase rate (HR _inc ) (S311). In the present specification, the work intensity is divided into three levels of the degree of the load that the worker is currently performing on the body, and is divided into light work, middle work, and heavy work. The judgment criterion for each step may be set as [Equation 6] below, but is not limited thereto.

The safety management server 300 determines a warning alarm class as a B class for a heavy work, a C class for a middle work, or a D class for a light work according to the work intensity (S540).

As described in steps S530 and S540, the 'work intensity' is used to determine the 'alarm level', and the determination of the 'risk condition' uses the 'physical safety accident exposure' calculated using fatigue and activity. Do it.

Heart rate measurement-risk assessment

The safety management server 300 calculates a heart rate variability (HRV) using the current heart rate measured in step S300 (S320). Heart rate variability (HRV) is a measure of body condition using a heartbeat and is a measure of the time interval between heartbeat and heartbeat. The heart rate variability is divided into various expression methods, and there are various methods of analyzing the heart rate interval (RR interval or heart rate deviation) expressed in milliseconds in the time domain and the frequency domain, respectively.

In the present specification, the standard deviation of the heart rate deviation during the measurement time was obtained as shown in [Equation 7] below, and this was used as a measurement value of the heart rate variability.

At this time, each variable is as follows.

N: number of samples

RR _i : Heart rate deviation

: 측정 시간 동안의 평균 심박수 편차

: Average heart rate deviation during measurement time

The safety management server 300 may calculate the fatigue of the worker using the heart rate variability (S321). In a state in which stress due to physical activity is applied, that is, in a tired state, the fluidity of the autonomic nervous system decreases, resulting in a monotonous pattern of heartbeat. Therefore, as body fatigue accumulates, heart rate increases and heart rate variability decreases. Using this, the reciprocal of heart rate variability was used as a measure of fatigue as shown in [Equation 8].

The safety management server 300 may calculate a physical risk using the fatigue of the worker and the amount of physical activity (S500). Fatigue and activity were used as evaluation scales to predict and warn of risks caused by human factors. The activity amount KE _t will be described in detail with reference to steps S400, S410, and S411.

Since the risk of human resources increases as more activities are performed in a high fatigue state, the physical risk is calculated as the product of fatigue and activity, and indicates how much activity the construction worker performed in a fatigued state. At a certain point in time, the physical risk is calculated as [Equation 9].

The safety management server 800 calculates a physical safety accident exposure level for determining whether a worker is finally exposed to a safety accident using the calculated physical risk (S510). In this system, a measure of 'exposure of physical safety accidents' was defined and used to predict and warn of risks caused by human factors. The exposure to physical safety accidents is expressed as a percentage (%) of the currently measured physical risk compared to the average physical risk of the worker. The calculation process is as follows [Equation 10].

When the calculated 'physical safety accident exposure' value is higher than a preset reference value (eg, 20%) (YES in S520), the safety management server 300 determines the worker's state as a 'dangerous state' ( S530). Here, the preset reference value can be changed according to the situation.

The safety management server 300 determines a warning alarm level based on the alarm level determined in step S540 (S540). In other words, if it is in a 'dangerous state' and the work intensity is a heavy work state, it is judged as 'class B', and if it is a 'risk state' and the work intensity is a middle work state, it is judged as a 'C class'. If it is in the 'dangerous state' and the work intensity is in the light work state, it is judged as 'class D'.

Since the current worker's safety state is 'dangerous state', the safety management server 300 may transmit an alarm to the manager app 400. At this time, the safety management server 300 may transmit the determined warning alarm class together. The safety management server 300 stores the current worker's safety state in the database (S550).

The safety management server 300 stores the current state when the 'physical safety accident exposure' value is lower than a preset reference value (NO in S520) (S550).

Heart rate measurement-accident detection

The safety management server 300 determines whether the heart rate is weak or excessive by using the heart rate measurement value measured in step S300 (S330). If the current heart rate measurement is too low or continues to be too high, it can be used to determine 'accident detection' as described below by determining it as a heart rate weakness or excessive heart rate.

Acceleration measurement-activity calculation

The safety management server 300 checks the measured value of the acceleration sensor mounted on the wearable safety equipment 100 (S400). The safety management server 300 reads the weight value for each worker from the database to calculate the activity amount of the worker (S410).

The safety management server 300 calculates the activity amount of the worker using the weight value of each worker and the acceleration sensor measurement value (S411). The worker's activity can be determined by the law of kinetic energy. After measuring the acceleration of each of the x, y, and z axes measured by the acceleration sensor and integrating it, the instantaneous velocity of each of the x, y, and z axes of the operator can be calculated as shown in [Equation 11].

: 작업자의 x, y, z 각 축의 가속도

: Acceleration of each axis of operator's x, y, z

v _x (t), v _y (t), v _z (t): the instantaneous velocity of each axis of the operator's x, y, y

Integrating the square of the instantaneous velocity of the operator's body obtained from [Equation 11] with respect to time can obtain the consumed energy, that is, the amount of activity (KE _t ). At this time, the weight value (m) of the individual worker should be secured in advance.

In the above description, a difference may occur in a method of calculating an activity amount according to a wear position of the wearable safety equipment 100. As described above, the activity amount KE _t is used to calculate physical risk along with fatigue in [Equation 9].

Acceleration measurement-accident detection judgment

The safety management server 300 may determine whether a free fall occurs using the measured value of the acceleration sensor checked in step S400 (S420). When determining whether a free fall occurs, if the measured value of the acceleration sensor approaches the gravitational acceleration value of the surface, it may be determined as a free fall. However, not all free fall is judged to be a fall / fall accident, and it may be determined that no accident has occurred if the same motion is repeated repeatedly or once again after free fall, the normal motion is returned.

The safety management server 300 may detect and determine the accident situation using the heartbeat weakness, heartbeat excess information determined in step S330, and freefall information determined in step S420 (S600). The safety management server 300 can derive three situations of 'heart rate weakness', 'no special condition', and 'heart rate excess' by analyzing the heart rate sensor measurement value, and analyze the acceleration sensor measurement value to determine 'movement weakness', The current status of the worker can be expressed in three situations: 'no special condition' and 'free fall'. Based on the analysis of these acceleration sensor measurements and heart rate sensor measurements, a total of nine situation judgments can be derived.

8 is a judgment table for determining an accident situation based on data analysis of an acceleration sensor and a heart rate sensor according to the present invention.

(1) In case of heart rate weakness or excessive heart rate: If the average heart rate measured per worker is weak or excessive compared to the reference value, it may be judged that there is a serious problem in the worker's health or an accident has already occurred. For example, when a state in which the average heart rate is 10 bpm or less is maintained for 20 seconds or more, it may be determined as a 'heart rate weak' state. In addition, when the heart rate deviation of 150% or more compared to the resting heart rate is maintained for 5 minutes or more, it is in a 'heart rate excessive' state and it can be determined that the worker is in a dangerous situation similar to an accident.

(2) When a fall or fall occurs: When a fall occurs in a high altitude or a fall accident occurs in the scaffold, the instantaneous acceleration magnitude (A of [Equation 4]) calculated from the value measured by the acceleration sensor at that moment approaches 0 Can be judged as 'free fall'. At the construction site, a free fall over a certain period of time may be regarded as an accident and a warning may be delivered.

When (1) and (2) are combined, in the case of 'weak movement' or 'no acceleration specificity' in the 'heartbeat' state, the worker's accident situation is judged to be 'heart stop accident', and in the 'heartbeat weakness' state, In the case of 'free fall', the worker's accident situation is judged to be 'stopping after a fall / fall accident'. In the case of 'free fall' in the 'no heartbeat' state, the worker's accident situation is judged to be 'fall / fall accident'. In the case of 'weakness of movement' in the 'excessive heartbeat' state, the worker's accident situation is judged as' unconsciousness due to exhaustion / injury ', and in the case of' excessive specificity of acceleration 'in the' excessive heartbeat 'state, the accident situation in the worker' It is judged as exhaustion / slight bleeding / scratch / bruise, and in the case of 'free fall' in 'excessive heart rate', the accident situation of the worker is judged as 'injury due to fall / fall'.

Referring to FIG. 7 again, when an accident situation is detected (YES in S610), the safety management server 300 determines the safety state of the worker as 'accident detection' (S620). The safety management server 300 determines the warning notification level based on the accident situation determined based on the acceleration sensor and heart rate sensor data analysis (S620). Since the current worker's safety state is 'accident detection', the safety management server 300 determines a warning alarm grade as A grade (S540).

The safety management server 300 determines whether a warning alarm is required according to the safety state of the worker. Since the current worker's safety state is 'accident detection', the safety management server 300 may transmit an alarm to each of the wearable safety equipment 100 and the manager app 400. At this time, the safety management server 300 may transmit the determined warning alarm class together. The safety management server 300 stores the current worker's safety state and accident situation in a database (S550).

If an accident situation is not detected (NO in S610), the current state is stored and the process goes to the next step.

10 is a view showing a construction safety management system operation scenario according to an embodiment of the present invention. Specifically, it is a method of operating the system when a worker who is working in the field has a fall accident at a height of about 5m.

The wearable safety device 100 measures whether the emergency report button is pressed and the current state (heart rate, acceleration) of the operator (S1000). The wearable safety device 100 transmits whether the emergency report button is pressed and the current state of the operator to the safety management server 300 through wireless communication (lora communication; 200) (S1100). The safety management server 300 checks the current status of the delivered worker and starts analysis (S1200).

As a result of the analysis, for example, a free fall of about 1 second is detected (S1210), the current heart rate increases by 75% compared to the rest period (S1220), the rate of heart rate increase just before the free fall is 30%, and the work intensity is' moderate. Suppose that it shows the value corresponding to 'Work' (S1230), and other abnormal signs were not detected (S1240).

Based on the above results, the accident situation becomes "injury due to a fall accident while working at the height" and the current state becomes "accident detection" (S1300). In this case, the warning alarm level is determined to be 'A grade', and a notification is transmitted to each of the wearable safety equipment 100 and the manager app 400 (S1400). The safety management server 300 may further transmit the accident situation and the warning alarm level to each of the wearable safety equipment 100 and the manager app 400. The safety management server 300 may control the wearable safety device and the manager app to output different alarms according to the warning alarm level.

For example, the safety management server 300 transmits a warning alarm to the wearable safety equipment 100 (S1500), so that the wearable safety device 100 outputs light, vibration, and buzzer sound according to the warning alarm level to the corresponding field workers ( S1510). Workers can grasp the accident situation on the basis of the alarm and quickly implement work interruption and emergency measures (S1520). In addition, the safety management server 300 outputs an alert notification pop-up according to the warning alarm grade and the accident situation to the manager app 400 (S1600), so that the safety manager promptly processes the accident report and on-site response (S1610). .

The present invention has been described with reference to one embodiment shown in the drawings, but this is merely exemplary, and those skilled in the art will understand that various modifications and other equivalent embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

10: Construction safety management system
100: wearable safety equipment
200: Laura Gateway
300: safety management server
400: admin app

Claims (10)

In the operating method of the construction safety management system using wearable safety equipment and the Laura network,
Receiving, by the server, the heart rate of the worker and the instantaneous acceleration of the worker through the roller network from the heart rate sensor and the acceleration sensor included in the wearable safety equipment, respectively;
The server determining the work intensity of the worker and the safety state of the worker based on the heart rate and the instantaneous acceleration;
The server determining a warning alarm level based on the work intensity and the safety condition; And
The server includes transmitting the alarm level and the safety state to at least one of the wearable safety equipment and the manager app.
The work intensity means the degree of the load currently being performed by the worker on the body of the worker,
The safety state is characterized by including an accident detection indicating that an accident has occurred to the worker, and a dangerous state indicating that there is a risk of an accident occurring to the worker,
The step of determining the safety state of the worker,
Calculating a heart rate variability of the worker using the heart rate;
Calculating an activity amount of the worker using the instantaneous acceleration and the weight of the worker;
Calculating a physical risk indicating how much activity the worker has performed in the state of fatigue using the heart rate variability and the activity amount; And
Including the step of determining the safety state of the worker in accordance with the physical risk level;
The step of judging as the dangerous state,
A method of operating a construction safety management system that calculates a physical safety accident exposure level and determines the worker's condition as a 'dangerous condition' when the calculated exposure level is higher than a preset reference value.
According to claim 1,
The step of determining the work intensity,
The server calculates a heart rate increase rate using the resting heart rate of the worker and the current heart rate of the worker, and determines whether the work intensity is light, middle, or heavy based on the rate of increase of the heart rate,
The step of determining the warning alarm level,
Method of operation of the construction safety management system, characterized in that the server determines different warning alarm grades according to the determined work intensity.
According to claim 1,
The physical safety accident exposure, characterized in that calculated by the following [Equation 10], the operation method of the construction safety management system:
[Equation 10]

.
According to claim 1,
The step of determining the safety state of the worker,
Determining whether the worker has a weak heart rate or excessive heart rate using the heart rate;
Determining whether the worker falls freely using the acceleration;
Determining an accident situation of the worker based on whether the heart rate is weak or excessive, and whether the free fall occurs; And
And determining the safety state of the worker as an accident detection according to the accident situation.
According to claim 1,
The wearable safety equipment further includes an emergency report button,
The server operating method of the construction safety management system, characterized in that to determine whether the safety state of the operator according to whether the emergency report button is pressed.
According to claim 1,
The server transmitting the alarm level and the safety state to at least one of the wearable safety equipment and the manager app,
When the safety state is a dangerous state, the alarm level and the safety state are transmitted to the wearable safety equipment,
If the safety state is an accident detection, the operation method of the construction safety management system, characterized in that for transmitting the alarm level and the safety state to each of the wearable safety equipment and the manager app.
In the operation method of the construction safety management system using wearable safety equipment,
A server receiving each of the emergency report button included in the wearable safety equipment, the heart rate sensor, and the acceleration sensor, whether the emergency report button is pressed, the heart rate of the worker, and the instantaneous acceleration of the worker;
The server, using the heart rate, calculating the work intensity indicating the degree of load that the work currently being performed by the worker on the body of the worker;
Calculating, by the server, a physical risk indicating how much activity the worker has performed in the state of fatigue using the heart rate and the instantaneous acceleration;
The server using the heart rate and the acceleration to determine the accident situation indicating that the operator has a heart stop accident or fall accident; And
The server includes determining whether the safety state of the worker is based on whether the emergency report button is pressed, the physical risk, and the accident situation.
The step of determining the safety state of the worker,
It is determined that the safety state of the worker is a dangerous state indicating that there is a risk of an accident occurring to the worker according to whether the emergency report button is pressed and each of the physical risks,
According to the accident situation, it is determined that the safety state of the worker is an accident detection indicating that an accident has occurred to the worker,
The dangerous state,
A method of operating a construction safety management system that calculates a physical safety accident exposure level and is a condition of an operator when the calculated exposure level is higher than a preset reference value.
The method of claim 7,
The step of determining the accident situation,
Determining whether the worker has a weak heart rate or excessive heart rate using the heart rate;
Determining whether the worker falls freely using the acceleration; And
And determining an accident situation of the worker based on whether the heart rate is weak or excessive, and the free fall.
The method of claim 7,
The server further comprises the steps of determining different warning alarm levels according to whether the emergency report button is pressed, the work intensity, and the accident situation determination result;
The server controls the wearable safety equipment and the manager app to output different alarms according to the determined warning alarm level.
The method of claim 7,
The physical safety accident exposure, characterized in that calculated by the following [Equation 10], the operation method of the construction safety management system:
[Equation 10]

.

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